An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan

The 24th report of the Malaysian Dialysis and Transplant register for 2016 states that Malaysia has seen 100% increment in the number of new dialysis patients that suffer from chronic kidney disease (CKD) over the past 10 years. Therefore, this research aimed to predict the CKD using fuzzy logic too...

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Main Authors:	Zakaria, Nur Idrina, Mohd Adnan, Ain Nazirah
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Fuzzy decision making Analytical methods used in the solution of physical problems Online data processing Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/41362/1/41362.pdf
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id	my-uitm-ir.41362
record_format	uketd_dc
spelling	my-uitm-ir.413622021-02-05T03:29:56Z An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan 2019-07 Zakaria, Nur Idrina Mohd Adnan, Ain Nazirah Fuzzy decision making Analytical methods used in the solution of physical problems Online data processing Fuzzy logic The 24th report of the Malaysian Dialysis and Transplant register for 2016 states that Malaysia has seen 100% increment in the number of new dialysis patients that suffer from chronic kidney disease (CKD) over the past 10 years. Therefore, this research aimed to predict the CKD using fuzzy logic toolbox. The data were collected from seventy clinical test patients based on blood urea nitrogen, eGFR (estimated glomerular filtration rate) and serum creatinine test The fuzzification of these data was generated using fuzzy toolbox in MATLAB software. As a conclusion, early detection of CKD is very important. The result showed the status of CKD for each patient whether a “Yes” or “No”. As a conclusion, early detection of CKD is very important to help patients to be treated at an early stage with the follow-up treatment and consultation with the nephrologist 2019-07 Thesis https://ir.uitm.edu.my/id/eprint/41362/ https://ir.uitm.edu.my/id/eprint/41362/1/41362.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Abdullah, Nur Solihah Khadhiah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdullah, Nur Solihah Khadhiah
topic	Fuzzy decision making Analytical methods used in the solution of physical problems Online data processing Fuzzy logic
spellingShingle	Fuzzy decision making Analytical methods used in the solution of physical problems Online data processing Fuzzy logic Zakaria, Nur Idrina Mohd Adnan, Ain Nazirah An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan
description	The 24th report of the Malaysian Dialysis and Transplant register for 2016 states that Malaysia has seen 100% increment in the number of new dialysis patients that suffer from chronic kidney disease (CKD) over the past 10 years. Therefore, this research aimed to predict the CKD using fuzzy logic toolbox. The data were collected from seventy clinical test patients based on blood urea nitrogen, eGFR (estimated glomerular filtration rate) and serum creatinine test The fuzzification of these data was generated using fuzzy toolbox in MATLAB software. As a conclusion, early detection of CKD is very important. The result showed the status of CKD for each patient whether a “Yes” or “No”. As a conclusion, early detection of CKD is very important to help patients to be treated at an early stage with the follow-up treatment and consultation with the nephrologist
format	Thesis
qualification_level	Bachelor degree
author	Zakaria, Nur Idrina Mohd Adnan, Ain Nazirah
author_facet	Zakaria, Nur Idrina Mohd Adnan, Ain Nazirah
author_sort	Zakaria, Nur Idrina
title	An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan
title_short	An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan
title_full	An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan
title_fullStr	An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan
title_full_unstemmed	An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan
title_sort	application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / nur idrina zakaria & ain nazirah mohd adnan
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/41362/1/41362.pdf
_version_	1783734631549370368

An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan

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